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Tuberculosis (TB) subunit vaccines have been investigated as boosters for BCG-induced immunity. Here, the authors design a TB subunit vaccine that doesn't share antigens with BCG and show that co-administration of the two vaccines broadens the T cell response to TB and increases protection.

An essential component of teacher preparation is clinical practice that allows teacher candidates (TCs) to observe, reflect upon, test their ideas, and adjust and improve their methods in classrooms. Weaknesses in the structure and organization between coursework and clinical practice in teacher preparation programs often present barriers from fully achieving these goals. University-school partnerships have the potential to overcome these challenges and create spaces for mutually beneficial learning opportunities for all stakeholders. In this article, we identify six levels to illustrate the continua of work with schools in the preparation of TCs that describe how a program might move from current partnership practice to the kinds of partnership practice described by McDonald and colleagues and the Council for the Accreditation of Educator Preparation (CAEP). While developing partnerships with schools is work that has inherent challenges, the potential of this work to meaningfully transform the preparation of teachers is crucial.

The paper is concerned with inference for a parameter of interest in models that share a common interpretation for that parameter but that may differ appreciably in other respects. We study the general structure of models under which the maximum likelihood estimator of the parameter of interest is consistent under arbitrary misspecification of the nuisance part of the model. A specialization of the general results to matched-comparison and two-groups problems gives a more explicit and easily checkable condition in terms of a notion of symmetric parameterization, leading to a broadening and unification of existing results in those problems. The role of a generalized definition of parameter orthogonality is highlighted, as well as connections to Neyman orthogonality. The issues involved in obtaining inferential guarantees beyond consistency are briefly discussed. [ABSTRACT FROM AUTHOR]

Direct use of the likelihood function typically produces severely biased estimates when the dimension of the parameter vector is large relative to the effective sample size. With linearly separable data generated from a logistic regression model, the loglikelihood function asymptotes and the maximum likelihood estimator does not exist. We show that an exact analysis for each regression coefficient produces half-infinite confidence sets for some parameters when the data are separable. Such conclusions are not vacuous, but an honest portrayal of the limitations of the data. Finite confidence sets are only achievable when additional, perhaps implicit, assumptions are made. Under a notional double-asymptotic regime in which the dimension of the logistic coefficient vector increases with the sample size, the present paper considers the implications of enforcing a natural constraint on the vector of logistic transformed probabilities. We derive a relationship between the logistic coefficients and a notional parameter obtained as a probability limit of an ordinary least-squares estimator. The latter exists even when the data are separable. Consistency is ascertained under weak conditions on the design matrix. [ABSTRACT FROM AUTHOR]

ObjectivesWe conducted a 6-month randomized clinical study to evaluate the impact of exposure to the aerosol of the Tobacco Heating System (THS), a smoke-free alternative to cigarettes, on changes in periodontal parameters after scaling and root planing (SRP) for periodontitis in subjects who were either continuing to smoke cigarettes or had switched to THS.Material and methodsSmokers with generalized periodontitis were randomized to continue smoking cigarettes or switch to THS use. They underwent SRP for up to 8 weeks, with dental assessments conducted at baseline and at 3 and 6 months after the first treatment.ResultsAfter SRP treatment, all groups showed improvements in the mean full-mouth probing depth (PD), full-mouth clinical attachment level (CAL), gingival inflammation score, plaque control record (PCR), and bleeding on probing (BoP). There were no statistically significant intergroup differences. However, as compared to smokers, THS users showed a trend toward more favorable outcomes in BoP, PCR, and PD improvement at sites with higher initial PD (≥7 mm).ConclusionsOur results indicate that SRP improves the course of periodontitis similarly in cigarette smokers and THS users. The beneficial effects of this treatment might mask the favorable changes that may occur upon modifying one of the several periodontitis risk factors, such as cigarette smoking.Clinical trial registrationClinicalTrials.gov, identifer: NCT03364751.

Halitosis is a health condition which counts cigarette smoking (CS) among its major risk factors. Cigarette smoke can cause an imbalance in the oral bacterial community, leading to several oral diseases and conditions, including intraoral halitosis. Although the best approach to decrease smoking-related health risks is quitting smoking, this is not feasible for many smokers. Switching to potentially reduced-risk products, like electronic vapor products (EVP) or heated tobacco products (HTP), may help improve the conditions associated with CS. To date, there have been few systematic studies on the effects of CS on halitosis and none have assessed the effects of EVP and HTP use. Self-assessment studies have shown large limitations owing to the lack of reliability in the participants' judgment. This has compelled the scientific community to develop a strategy for meaningful assessment of these new products in comparison with cigarettes. Here, we compiled a review of the existing literature on CS and halitosis and propose a 3-layer approach that combines the use of the most advanced breath analysis techniques and multi-omics analysis to define the interactions between oral bacterial species and their role in halitosis both in vitro and in vivo. Such an approach will allow us to compare the effects of different nicotine-delivery products on oral bacteria and quantify their impact on halitosis. Defining the impact of alternative nicotine-delivery products on intraoral halitosis and its associated bacteria will help the scientific community advance a step further toward understanding the safety of these products and their potentiall risks for consumers.

Background: Research has identified enhancement of positive self-concept as an important outcome connected with participation in adventure-based activities in physical education (PE). Purpose: This study compared the effectiveness of Team Building Through Physical Challenges (TBPC) and Adventure Curriculum for Physical Education (ACPE) programs on the self-conceptions of middle school PE students. Both approaches include adventure-type tasks adapted for use in PE. Methodology/Approach: Participants consisted of 397 female (n = 183) and male (n = 214) students who were enrolled in Coeducational Grades 7 and 8 PE classes in three middle schools. Students in the treatment classes were exposed to either the TBPC condition or the ACPE condition during PE classes over 7 months, whereas students in the control group completed the regular PE curriculum that did not include activities from either approach. Findings/Conclusions: Results suggest that both approaches benefit the self-conceptions of children with each being particularly effective at changing those self-conceptions logically related to specific organizing themes. Specifically, ACPE was greater than TBPC, for global self-worth and perceived behavioral conduct. TBPC was greater than ACPE for perceived social approval. Implications: Incorporating either the TBPC or the ACPE program in middle school PE can benefit the self-conceptions of students.

A new three-dimensional electromagnetic modeling tool ( ThinCurr ) has been developed using the existing PSI-Tet finite-element code in support of conducting structure design work for both the SPARC and DIII-D tokamaks. Within this framework a 3D conducting structure model was created for both the SPARC and DIII-D tokamaks in the thin-wall limit. This model includes accurate details of the vacuum vessel and other conducting structural elements with realistic material resistivities. This model was leveraged to support the design of a passive runaway electron mitigation coil (REMC), studying the effect of various design parameters, including coil resistivity, current quench duration, and plasma vertical position, on the effectiveness of the coil. The REMC is a non-axisymmetric coil designed to passively drive large non-axisymmetric fields during the plasma disruption thereby destroying flux surfaces and deconfining RE seed populations. These studies indicate that current designs should apply substantial 3D fields at the plasma surface during future plasma current disruptions as well as highlight the importance of having the REMC conductors away from the machine midplane in order to ensure they are robust to off-normal disruption scenarios.

DIII-D experiments demonstrate simultaneous stability measurements and control of resistive wall modes (RWMs) with toroidal mode numbers n = 1 and n = 2. RWMs with n > 1 are sometimes observed on DIII-D following the successful feedback stabilization of the n = 1 mode, motivating the development of multi- n control. A new model-based multi-mode feedback algorithm based on the VALEN physics code has been implemented on the DIII-D tokamak using a real-time GPU installed directly into the DIII-D plasma control system. In addition to stabilizing RWMs, the feedback seeks to control the stable plasma error field response, enabling compensation of the typically unaddressed DIII-D n = 2 error field component. Experiments recently demonstrated this algorithm’s ability to simultaneously control n = 1 and n = 2 perturbed fields for the first time in a tokamak, using reactor relevant external coils. Control was maintained for hundreds of wall-times above the n = 1 no-wall pressure limit and approaching the n = 1 and n = 2 ideal-wall limits. Furthermore, a rotating non-zero target was set for the feedback, allowing stability to be assessed by monitoring the rotating plasma response (PR) while maintaining control. This novel technique can be viewed as a closed-loop extension of active MHD spectroscopy, which has been used to validate stability models through comparisons of the PR to applied, open-loop perturbations. The closed-loop response measurements are consistent with open-loop MHD spectroscopy data over a wide range of β _N approaching the n = 1 ideal-wall limit. These PR measurements were then fit to produce both VALEN and single-mode stability models. These models allowed for important plasma stability information to be determined and have been shown to agree with experimentally observed RWM growth rates.

Despite the prevalence of professional development in schools and the variability in its implementation, little research has been conducted on how professional development makes its way into the classroom. Even when teachers participate in high-quality professional development, there remains a large and often undocumented variability in how teachers make use of ideas learned. Therefore, educational researchers and professional developers need to better understand the dilemmas and choices teachers face in making use of learned practices. The goal of this particular study was to understand the relationships between professional development and classroom practice. The authors looked at the ways teachers participated in the communities and their identities as teachers of mathematics across the communities. Examining teachers in both settings allowed for a comparative analysis of teachers' participation in and identities around their professional development and classroom community. To highlight the ways in which identity help them make sense of the relationship, they focus on detailing the participation and identities of two of the particular workgroup teachers. (Contains 2 notes.)

Uprisings against police violence have placed the institution of policing front and center in conversations about societal change. In our work with activists, we have engaged in collecting and analyzing public records data to inform community organizing for change. In this editorial we discuss how to obtain, interpret, and analyze public records on policing as a way to support educators and youth to investigate policing in their own communities. Specifically, we discuss how to embed this work in Youth Participatory Action Research as a way to respond to youth concerns about their community in a way that leads to action. Briefly, we illustrate how this occurred in one classroom in an urban school where students made meaningful connections between their analyses of local police data and their personal experiences with racially disparate policing, which led some students to become change agents in their communities. This work demonstrates the simultaneous cultivation of youth engagement with mathematics and activism.

It is frequently observed in practice that the Wald statistic gives a poor assessment of the statistical significance of a variance component. This paper provides detailed analytic insight into the phenomenon by way of two simple models, which point to an atypical geometry as the source of the aberration. The latter can in principle be checked numerically to cover situations of arbitrary complexity, such as those arising from elaborate forms of blocking in an experimental context, or models for longitudinal or clustered data. The salient point, echoing Dickey (2020) , is that a suitable likelihood-ratio test should always be used for the assessment of variance components. [ABSTRACT FROM AUTHOR]

Cigarette smoking causes adverse health effects that might occur shortly after smoking initiation and lead to the development of inflammation and cardiorespiratory disease. Emerging studies have demonstrated the role of the intestinal microbiome in disease pathogenesis. The intestinal microbiome is susceptible to the influence of environmental factors such as smoking, and recent studies have indicated microbiome changes in smokers. Candidate modified risk tobacco products (CMRTP) are being developed to provide substitute products to lower smoking-related health risks in smokers who are unable or unwilling to quit. In this study, the ApoE–/– mouse model was used to investigate the impact of cigarette smoke (CS) from the reference cigarette 3R4F and aerosols from two CMRTPs based on the heat-not-burn principle [carbon-heated tobacco product 1.2 (CHTP 1.2) and tobacco heating system 2.2 (THS 2.2)] on the intestinal microbiome over a 6-month period. The effect of cessation or switching to CHTP 1.2 after 3 months of CS exposure was also assessed. Next-generation sequencing was used to evaluate the impact of CMRTP aerosols in comparison to CS on microbiome composition and gene expression in the digestive tract of mice. Our analyses highlighted significant gene dysregulation in response to 3R4F exposure at 4 and 6 months. The findings showed an increase in the abundance of Akkermansiaceae upon CS exposure, which was reversed upon cessation. Cessation resulted in a significant decrease in Akkemansiaceae abundance, whereas switching to CHTP 1.2 resulted in an increase in Lactobacillaceae abundance. These microbial changes could be important for understanding the effect of CS on gut function and its relevance to disease pathogenesis via the microbiome.

While research has consistently shown the positive effects of having a teacher of the same race on various student outcomes, the literature has not examined how racial match affects the everyday interactions within classrooms. This research article by Dan Battey, Luis A. Leyva, Immanuel Williams, Victoria A. Belizario, Rachel Greco, and Roshni Shah addresses this underexplored area by documenting relational interactions in classrooms to find one mechanism that could be producing racialized effects on learning. Using a dataset from a study of twenty-five mathematics classrooms across predominantly white and black US middle schools, they examine the quality of relational interactions when teachers and students are racially matched and mismatched, as well as the effects on student achievement in mathematics. Their analysis shows how various dimensions of relational interactions significantly predict increases and decreases in achievement due to racial match.